Deliberative Democracy in Practice: Handbooks on Commissioning, Facilitating, and Evaluating Deliberative Processes
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Governments seeking to address declining trust, increasing polarisation, and greater complexity in government policy have increasingly turned to democratic innovations to engage citizens. For practitioners and academics alike, the term ‘deliberative wave’ has become shorthand to describe the increased popularity of these tools and the emergence of a field of study that has the potential to revitalise citizen-state relationships. The practical handbooks reviewed here present a mosaic of tools, resources, and lessons from experience to ensure the successful commissioning, organisation, and facilitation of deliberative mini-publics (DMPs). They each provide valuable insights based on years of expertise developed running processes with publics (Enabling National Initiatives, Facilitating Deliberation) or consolidating a vast array of international experience (Assembling an Assembly, Innovative Citizen Participation, Evaluation Guidelines, Eight Ways to Institutionalise). In this review I reflect on definitions of deliberation; why these guides argue DMPs are important; and the connection between deliberative democracy theory and practice.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.021 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.003 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it